3 citations · 7 across the 11 of their papers we have counts for
14 papers
Hardware Implementation of Photonic Spiking Hash Retrieval
Shangxuan Shi, Shuiying Xiang, Xintao Zeng +5
Hashing retrieval is a pivotal technology for large-scale similarity search, widely applied in retrieval-augmented generation (RAG) for large language models (LLMs), massive image…
Transformer Neural-Network Quantum States for lattice models of spins and fermions: Application to the Ancilla Layer Model
Riccardo Rende, Alexander Nikolaenko, Luciano Loris Viteritti +2
We introduce a variational wave function based on Neural-Network Quantum States (NQS) to study lattice systems whose local Hilbert space contains both spin and fermionic degrees of…
Photonic spiking reinforcement learning for intelligent routing
Shuiying Xiang, Yonghang Chen, Ling Zheng +8
Intelligent routing plays a key role in modern communication infrastructure, including data centers, computing networks, and future 6G networks. Although reinforcement learning (RL…
Hardware implementation of photonic neuromorphic autonomous navigation
Yonghang Chen, Shuiying Xiang, Xintao Zeng +7
Reinforcement learning (RL) is a core technology enabling the transition of artificial intelligence (AI) from perception to decision-making, but its deployment on conventional elec…
Photonic Spiking Graph Neural Network for Energy-Efficient Structured Data Processing
Wanting Yu, Shuiying Xiang, Xingxing Guo +6
Photonic computing shows great potential for signal processing and artificial intelligence (AI) acceleration due to its ultra-high speed, low energy consumption, and inherent paral…
Hardware-Software Collaborative Computing of Photonic Spiking Reinforcement Learning for Robotic Continuous Control
Mengting Yu, Shuiying Xiang, Changjian Xie +6
Robotic continuous control tasks impose stringent demands on the energy efficiency and latency of computing architectures due to their high-dimensional state spaces and real-time i…
Hardware-aware Lightweight Photonic Spiking Neural Network for Pattern Classification
Shuiying Xiang, Yahui Zhang, Shangxuan Shi +8
There exists a significant scale gap between photonic neural network integrated chips and neural networks, which hinders the deployment and application of photonic neural network.…
Integrated photonic neuromorphic computing: device, architecture, chip, algorithm
Shuiying Xiang, Chengyang Yu, Yizhi Wang +10
Artificial intelligence (AI) has experienced explosive growth in recent years. The large models have been widely applied in various fields, including natural language processing, i…
Nonlinear Photonic Neuromorphic Chips for Spiking Reinforcement Learning
Shuiying Xiang, Yonghang Chen, Haowen Zhao +8
Photonic computing chips have made significant progress in accelerating linear computations, but nonlinear computations are usually implemented in the digital domain, which introdu…
Mode locking via delayed orthogonal-polarization reinjection in semiconductor VCSELs
T. Wang, Y. Ma, Z. Li +7
We demonstrate harmonic mode-locking in a semiconductor VCSEL using polarization-controlled delayed feedback. By integrating a rotatable /2-plate within an external cavity, we a…
Photonic Integrated Neuro-Synaptic Core for Convolutional Spiking Neural Network
Shuiying Xiang, Yuechun Shi, Yahui Zhang +14
Neuromorphic photonic computing has emerged as a competitive computing paradigm to overcome the bottlenecks of the von-Neumann architecture. Linear weighting and nonlinear spiking…
Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
Shuiying Xiang, Tao Zhang, Shuqing Jiang +7
Spiking neural network (SNN) is a biologically-plausible model and exhibits advantages of high computational capability and low power consumption. While the training of deep SNN is…
Hardware-algorithm collaborative computing with photonic spiking neuron chip based on integrated Fabry-Pérot laser with saturable absorber
Shuiying Xiang, Yuechun Shi, Xingxing Guo +15
Photonic neuromorphic computing has emerged as a promising avenue toward building a low-latency and energy-efficient non-von-Neuman computing system. Photonic spiking neural networ…
Convolutional Image Edge Detection Using Ultrafast Photonic Spiking VCSEL Neurons
Joshua Robertson, Yahui Zhang, Matej Hejda +4
We report experimentally and in theory on the detection of edge information in digital images using ultrafast spiking optical artificial neurons towards convolutional neural networ…